ScyllaDB Brings Massive-Scale Vector Search to Real-Time AI
ScyllaDB’s integrated Vector Search can handle datasets of 1 billion vectors with P99 latency as low as 1.7 ms and throughput up to 252,000 QPS ScyllaDB today announced the general availability of its new Vector Search. This high-performance vector search supports the industry’s largest models with ...
The UK can unite its advanced AI expertise with its strict regulatory framework and its high-quality product development with the rapid expansion of Saudi retail operations.
Ooredoo Group announces Syntys acquisition of Q Data facilities in Qatar
Deal brings 12.5MW of hyperscale capacity to Syntys in Qatar Free Zones Ooredoo Group and Syntys announced today that Syntys has acquired Q Data QFZ LLC, which operates hyperscale data centre facilities in Qatar serving leading cloud and AI customers, with 5MW live and 7.5MW under development. The t...
Sophelio Announces New Identity and Strategic Focus
Sophelio enters a new chapter as an award-winning AI company focused on signal-first, provenance-driven data platforms for complex, multimodal systems. As an award–winning company working at the intersection of AI, machine learning, and high-stakes scientific data, Sophelio builds signal-first, prov...
Easy Metrics Expands Platform with AI Agents for Warehouse Performance
Introducing Easy Metrics’ role-specific AI Agents, led by Network Analyst, delivering proactive, executive-level insight and targeted recommendations Easy Metrics, a leader in warehouse performance management, today announced a new evolution of the Easy Metrics platform with the introduction of Easy...
Secures over $1.0M in Early-Stage Funding neuropacs™ Corp., a leading innovator in AI-driven neurological diagnostics, announced today the successful raise of over $1.0 million in early-stage capital. Earlier last year, neuropacs hosted a private Investor event at the office of Mr. Richard A. Staab,...
MetalBear Launches mirrord for CI to Bring Production-Like Testing into CI
New capability extends mirrord’s environment mirroring into CI pipelines, enabling teams to run tests against real, shared Kubernetes environments without deploying code or spinning up new infrastructure MetalBear, creator of the popular open source Kubernetes development solution mirrord, today ann...
Tacnode Emerges from Stealth to Launch Tacnode Context Lake
Tacnode also introduces Semantic Operators, a new capability that enables AI agents to operate on shared meaning Today, Tacnode emerges from stealth, introducing Tacnode Context Lake and the general availability of Semantic Operators. Originally conceived by Xiaowei Jiang, the Context Lake system cl...
PeakMetrics Launches MCP Server for Live Narrative Intelligence
Live narrative intelligence now available directly inside ChatGPT, Google Gemini, and Claude PeakMetrics today announced the launch of its Model Context Protocol (MCP) Server, enabling teams to access live narrative intelligence directly inside AI assistants such as ChatGPT, Google Gemini, and Claud...
Salesforce AI Introduces FOFPred: A Language-Driven Future Optical Flow Prediction Framework that Enables Improved Robot Control and Video Generation
Salesforce AI research team present FOFPred, a language driven future optical flow prediction framework that connects large vision language models with diffusion transformers for dense motion forecasting in control and video generation settings. FOFPred takes one or more images and a natural languag...
Sophos Adds Workspace Protection to Secure Hybrid Work and AI Use
Sophos Workspace Protection expands Sophos’ portfolio with an accessible and affordable alternative to heavyweight and cost-intensive SASE solutions for securing hybrid and remote work Built around the Sophos Protected Browser, powered by Island, Sophos Workspace Protection protects applications, da...
Radware Launches a New End-to-End API Security Service
New solution unifies API discovery, posture management, business logic defense, and multi-vector runtime protection in a single platform Radware® (NASDAQ: RDWR), a global leader in application security and delivery solutions for multi-cloud environments, today announced the launch of its Radware API...
FGS Global Launches AI Advisory Practice and Acquires Memetica
Dedicated global practice to help organizations navigate and optimize AI comms transformation AI-driven threat intelligence offer identifies, assesses and mitigates emerging risks across the dark web FGS Global, the world’s leading stakeholder strategy firm, today announced the launch of its AI Advi...
How AutoGluon Enables Modern AutoML Pipelines for Production-Grade Tabular Models with Ensembling and Distillation
In this tutorial, we build a production-grade tabular machine learning pipeline using AutoGluon, taking a real-world mixed-type dataset from raw ingestion through to deployment-ready artifacts. We train high-quality stacked and bagged ensembles, evaluate performance with robust metrics, perform subg...
Crittora Introduces APP, an Execution-Time Authorization Layer for AI Agents
Secure Agent Readiness Program helps security and platform teams move action-taking agents through review and into production Crittora today introduced the Agent Permission Protocol (APP), which brings execution-time authorization to action-taking AI agents by verifying a cryptographically sealed pe...
85% of Healthcare IT Leaders See Passwordless as Critical
Just 7% of organizations have fully adopted passwordless authentication, citing technical integration challenges and clinical training concerns Imprivata, a leading provider of access management solutions for healthcare and other mission-critical industries, today released the findings from a new su...
The human brain may work more like AI than anyone expected
Scientists have discovered that the human brain understands spoken language in a way that closely resembles how advanced AI language models work. By tracking brain activity as people listened to a long podcast, researchers found that meaning unfolds step by step—much like the layered processing insi...
Flux.2 Klein Debuts: Trying The Compact and Fast AI Image Model
I see AI image models getting better every month. Sharper outputs, more parameters, higher benchmark scores. So why would I, or anyone for that matter, get excited about a smaller AI image model? Well, because most image models still behave like offline tools. You prompt, you wait, you hope. There i...
CSyMR: Benchmarking Compositional Symbolic Muisc Reasoning With MIR Tool Integration
arXiv:2601.11556v1 Announce Type: new
Abstract: Large Language Models (LLMs) are leveraged in symbolic music reasoning, yet existing benchmarks emphasize isolated knowledge or atomic analyses rather than the integrative compositional reasoning needed to connect musical structures. To address this, ...
AdaFRUGAL: Adaptive Memory-Efficient Training with Dynamic Control
arXiv:2601.11568v1 Announce Type: new
Abstract: Training Large Language Models (LLMs) is highly memory-intensive due to optimizer state overhead. The FRUGAL framework mitigates this with gradient splitting, but its static hyperparameters -- the subspace ratio ($\rho$) and update frequency ($T$) -- ...
Discrete Semantic States and Hamiltonian Dynamics in LLM Embedding Spaces
arXiv:2601.11572v1 Announce Type: new
Abstract: We investigate the structure of Large Language Model (LLM) embedding spaces using mathematical concepts, particularly linear algebra and the Hamiltonian formalism, drawing inspiration from analogies with quantum mechanical systems. Motivated by the ob...
GRADE: Replacing Policy Gradients with Backpropagation for LLM Alignment
arXiv:2601.11574v1 Announce Type: new
Abstract: Reinforcement learning from human feedback (RLHF) has become the dominant paradigm for aligning large language models with human preferences. However, policy gradient methods such as PPO suffer from high variance gradient estimates, requiring careful ...
arXiv:2601.11604v1 Announce Type: new
Abstract: Multi-objective reinforcement learning (MORL) enables agents to optimize vector-valued rewards while respecting user preferences. CAPQL, a preference-conditioned actor-critic method, achieves this by conditioning on weight vectors w and restricts data...